New publication by NCCA academics and students in the top journal

Fusion, open access, student research

The SIAM Journal on Imaging Sciences (“SIIMS – a broad authoritative source for fundamental results in imaging sciences, with a unique combination of mathematics and applications”), an influential Q1-journal with a significant Impact Factor and SJR indicator, has just published the paper “Automatically Controlled Morphing of 2D Shapes with Textures” authored by NCCA academics and students. This multidisciplinary paper proposes a novel theoretical and practical framework resulting in a suite of mathematically substantiated techniques important in the context of 2D imagery, artistic design, computer animation, and emerging streaming and interactive applications.

The paper has a rather long and non-trivial history related to the fusion of academic and student research. Initially, NCCA UG student Felix Marrington-Reeve (“Computer Visualisation and Animation” course, Level 6) undertook his R&D project within the “Innovations” unit and got some interesting results. The 8-page paper written on the basis of his project and co-authored with his supervisors Dr Valery Adzhiev and Prof Alexander Pasko, was, however, rejected in 2017 by two international conferences (they were prepared to accept a short version but the authors thought the work deserved a better fate).

After Felix’s graduation (he started working in a leading production company Framestore) Dr Oleg Fryazinov and PhD student Alexander Tereshin joined the project team. A lot of additional theoretical and practical work had been done, and in February 2019 the radically modified and extended 30-page version was submitted to SIIMS. After two-stage rigorous peer-reviewing process, in October 2019 the paper was accepted by this prestigious journal.

References:

  • Tereshin, A., Adzhiev, V., Fryazinov, O., Marrington-Reeve, F., Pasko, A. (2020). “Automatically Controlled Morphing of 2D Shapes with Textures”, The SIAM Journal on Imaging Sciences, Vol. 13, No. 1, pp. 78-107. DOI: 10.1137/19M1241581
  • Full text of the paper: http://eprints.bournemouth.ac.uk/33366/

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